• DocumentCode
    2692737
  • Title

    Methods for fault diagnosis in rail vehicle traction and braking systems

  • Author

    Daley, S. ; Newton, D.A. ; Benne, S.M. ; Patton, R.J.

  • Author_Institution
    Mech. Eng. Centre, Eur. Gas Turbines Ltd., Leicester, UK
  • fYear
    1995
  • fDate
    34813
  • Firstpage
    42491
  • Lastpage
    513
  • Abstract
    A number of techniques are available for improving reliability and avoiding unplanned maintenance in rail vehicle traction and braking systems. In this paper, the most relevant techniques, from classical monitoring to the more recent model-based methods, are reviewed. Although available for some years, many of the classical methods are often not used because of the added instrumentation cost. With increasingly tighter slip and slide control requirements, more sophisticated control strategies, many of which make use of state variable observers, are being used. As a result, the use of modern fault detection algorithms are enabled at little extra cost. Possibilities for observer design for fault tolerant control in the face of sensor failures are also explored
  • Keywords
    braking; fault diagnosis; locomotives; maintenance engineering; mechanical variables control; monitoring; observers; reliability; sliding friction; traction; fault detection algorithms; fault diagnosis; fault tolerant control; instrumentation cost; model-based methods; monitoring; rail vehicle braking systems; rail vehicle traction systems; reliability; sensor failures; slide control; slip control; state variable observers; unplanned maintenance avoidance;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Qualitative and Quantitative Modelling Methods for Fault Diagnosis, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1049/ic:19950513
  • Filename
    477983